A robotic assembly sequence is considered to be
optimal when it minimizes assembly cost and satisfies the
process constraints. The assembly cost relates to assembly
operations, assembly motions and assembly direction
changes. The present work utilizes an ant colony
optimization (ACO) method for generation of optimized
robotic assembly sequences. The method reflects the
assembly cost to an energy function associated with the
assembly sequence. The energy function is iteratively
minimized by ACO to generate the desired optimized
assembly sequence. A case study is presented to show the
effectiveness of the proposed method.